Software Engineer

Role Overview We are seeking a motivated early-career Software Engineer (2+ years of experience) with a Computer Science background to join our team as a long-term contributor. You will work alongside experienced vehicle data engineers and analysts to build internal tooling, automate job orchestration, and maintain CI/CD pipelines - enabling the team to move faster and focus on higher-order analysis work. This is a heads-down engineering role with a meaningful impact on the team's overall productivity. The right candidate will be technically sharp, self-directed, and eager to learn the large-scale data domain and product application over time. Key Responsibilities Design, build, and maintain internal tooling that supports team data workflows and reduces manual effort Own and improve GitHub CI/CD pipelines to support reliable, repeatable deployments Develop and manage automated Databricks job orchestration and workflow scheduling Collaborate with data engineers to support pipeline development on an as-needed basis Write clear documentation for tooling, processes, and automation solutions Support Repo management - participate in code reviews, uphold software quality standards, and contribute to team engineering practices Develop or consume REST APIs to connect internal systems or trigger automated workflows Technical Skills Required Python: primary development language for tooling, automation, and scripting GitHub / Git: branching strategies, pull request workflows, GitHub Actions, and CI/CD pipeline management Databricks, Snowflake, or Equivalent: notebooks, jobs, Workflows for job orchestration and scheduling SQL: querying and transforming structured data; basic ETL/data engineering concepts Workflow Orchestration: understanding of dependency management, scheduling, and pipeline patterns VS Code: modern IDE proficiency including extensions, debugging, and integrated terminal workflows, and GitHub Copilot integration. Nice to Have Experience REST APIs: experience building or consuming RESTful APIs in Python (e.g., FastAPI, Flask, requests) Databricks Asset Bundles: or equivalent infrastructure-as-code approaches for Databricks resource management Docker / Containers: basic containerization concepts for reproducible environments Delta Lake / Parquet: familiarity with columnar and transactional data formats used in lakehouse architectures Off-Road / Telematics: any exposure to vehicle data, CAN bus, or telematics systems is a strong plus Soft Skills & Competencies Collaborative team player who thrives in a cross-disciplinary environment alongside domain experts Strong written communication skills - ability to produce clear documentation and process notes Process-oriented mindset with attention to detail; comfortable working within V&V and quality frameworks Fast learner with the intellectual curiosity to pick up off-road vehicle and telematics domain knowledge Self-directed and comfortable working heads-down on complex technical problems with limited hand-holding Dependable and consistent; takes ownership of deliverables and communicates proactively on blockers Experience & Education 2+ years of professional software development experience, including internships or co-op roles Bachelor's degree in Computer science, Software Engineering, or a closely related field (or equivalent practical experience) Demonstrated ability to write clean, maintainable Python code Experience working in a collaborative Git-based development workflow Experience with Identifying business needs and developing recommendations and solutions Notes: 1st shift 7:00 AM - 4:00 PM Metatarsal safety boots required VIVA is an equal opportunity employer. All qualified applicants have an equal opportunity for placement, and all employees have an equal opportunity to develop on the job. This means that VIVA will not discriminate against any employee or qualified applicant on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status VIVA